Nhan To is a data engineer and AI/machine learning practitioner based in Melbourne with nine years of hands-on experience delivering cloud-native data pipelines and production ML systems. Currently at Sportsbet, he engineers AWS-driven ingestion and analytics flows (Lambda, S3, Redshift, MSK) and connects customer data platforms like Tealium and Braze to enable data-informed engagement. His background includes leading an intern ML team to deploy a recommender prototype, building RPA bots and earning Automation Anywhere and UiPath certifications, showing a practical blend of automation and model deployment experience. Academically he pairs a summa cum laude computer science degree with a Master of IT in AI from University of Melbourne, and he has a track record of turning scraped and messy data into deployed models and robust pipelines. Notably, he solved cold-start recommender issues with a pragmatic Trending algorithm and enjoys bridging research ideas to production engineering.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Computer and Information Sciences IT Service Science, Bachelor of Computer and Information Sciences IT Service Science at Auckland University of Technology
The University of Melbourne
Bachelor of Computer and Information Sciences IT Service Science, Bachelor of Computer and Information Sciences IT Service Science at VNUHCM - University of Science
Contributions:6 commits, 5 pushes, 1 branch in 5 months
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